Partial dependence plots (PDP) [1]} estimate the average marginal effect of a subset of features on the output of a model using the Monte Carlo method. When the subset comprises one or two features, the model output is plotted as a function of the feature values. PDPs give a global understanding of a model this way, but can also yield a local explanation for the specific feature values of a data point.
